pyhpc-benchmarks
MATDaemon.jl
pyhpc-benchmarks | MATDaemon.jl | |
---|---|---|
6 | 2 | |
301 | 24 | |
- | - | |
3.2 | 5.6 | |
4 months ago | 2 months ago | |
Python | Julia | |
The Unlicense | MIT License |
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pyhpc-benchmarks
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Supercharged high-resolution ocean simulation with Jax
True, but unfortunately Pytorch is not quite there yet when it comes to more complex benchmarks:
https://github.com/dionhaefner/pyhpc-benchmarks#example-resu...
JAX really is the only library that comes close to low-level code on CPU, almost always.
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[D] Does working with Tensorflow affect my chances of getting research internships?
https://github.com/dionhaefner/pyhpc-benchmarks begs to differ.
- GitHub - dionhaefner/pyhpc-benchmarks: A suite of benchmarks for CPU and GPU performance of the most popular high-performance libraries for Python
- HPC Benchmarks for Python
- Pyhpc: Benchmarks for CPU and GPU of the most popular high-perf Python libs
MATDaemon.jl
What are some alternatives?
tf-quant-finance - High-performance TensorFlow library for quantitative finance.
Oceananigans.jl - 🌊 Julia software for fast, friendly, flexible, ocean-flavored fluid dynamics on CPUs and GPUs
pyopencl - OpenCL integration for Python, plus shiny features
XLA.jl - "Maybe we have our own magic."
sqloxide - Python bindings for sqlparser-rs
Mex.jl - Embedding Julia in the MATLAB process.
3d-ken-burns - an implementation of 3D Ken Burns Effect from a Single Image using PyTorch
julia - The Julia Programming Language
XLA.jl - Julia on TPUs
PSyclone - Domain-specific compiler and code transformation system for Finite Difference/Volume/Element Earth-system models in Fortran
torchquad - Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX